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Dr. Dimitrios Thomas
1. European Commission, JRC , Directorate C Energy, Transport and Climate, I-21027 Ispra (VA), Italy

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0 Energy Storage
0 Optimization
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Energy Storage

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Review
Published: 07 July 2021 in Sustainability
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Despite the rising interest in smart city initiatives worldwide, governmental theories along with the managerial perspectives of city planning are greatly lacking in the literature. It is definitely understandable that the adoption of configurational pathways toward the ‘smart’ ‘governance’ models is required as a key factor and smartness’ facilitator in modern cities. In this manuscript, we display an exhaustive literature review on the importance of the n-Helix models along with a benchmarking critical approach through selected European case studies. This paper reveals the lack of exhaustive analyses for the methodological investigation, identification, and adoption of the most appropriate governance model per project including collaborative approaches. In addition, the paper deploys modular frameworks to efficiently address the continuous urban challenges, such as the rapid urbanization or the climate change.

ACS Style

Rallou Taratori; Paulina Rodriguez-Fiscal; Marie Pacho; Sesil Koutra; Montserrat Pareja-Eastaway; Dimitrios Thomas. Unveiling the Evolution of Innovation Ecosystems: An Analysis of Triple, Quadruple, and Quintuple Helix Model Innovation Systems in European Case Studies. Sustainability 2021, 13, 7582 .

AMA Style

Rallou Taratori, Paulina Rodriguez-Fiscal, Marie Pacho, Sesil Koutra, Montserrat Pareja-Eastaway, Dimitrios Thomas. Unveiling the Evolution of Innovation Ecosystems: An Analysis of Triple, Quadruple, and Quintuple Helix Model Innovation Systems in European Case Studies. Sustainability. 2021; 13 (14):7582.

Chicago/Turabian Style

Rallou Taratori; Paulina Rodriguez-Fiscal; Marie Pacho; Sesil Koutra; Montserrat Pareja-Eastaway; Dimitrios Thomas. 2021. "Unveiling the Evolution of Innovation Ecosystems: An Analysis of Triple, Quadruple, and Quintuple Helix Model Innovation Systems in European Case Studies." Sustainability 13, no. 14: 7582.

Journal article
Published: 18 February 2021 in Sustainability
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In order to conserve the energy used for remediation of harmful metals from aqueous media, an adsorption process was performed. It is efficient and low-cost method with zero carbon emissions as compared to other methods. A hematite-based novel nanomaterial loaded onto biochar was utilized for the remediation of toxic cadmium metal ions from aqueous media. Saccharum munja has been employed as low-cost feedstock to prepare the biochar. Three adsorbents i.e., raw Saccharum munja (SM), Saccharum munja biochar (SMBC) and hematite-loaded Saccharum munja bichar (HLSMBC) were used in batch adsorption tests to study uptake of metal ions by optimizing the experimental parameters. Experimental data and calculated results revealed maximum sorption efficiency of Cd(II) removal was given by HLSMBC (72 ppm) and SMBC (67.73 ppm) as compared with SM (48.7 ppm). Among adsorption isotherms applied on work best fit for Cd(II) adsorption on SM was found for a Freundlich isotherm with high values of correlation coefficient R2 ≥ 0.9 for all sorbents and constant 1/n values between 0–1. Equilibrium results were evaluated using five different types of errors functions. Thermodynamic studies suggested feasible, spontaneous and endothermic nature of adsorption process, while, the ∆H parameter < 80 kJ/mol indicated physiosorption and positive ∆S values promoted randomness of ions with increase in adsorption process. Data fitted into type I of pseudo second order kinetics having R2 ≥ 0.98 and rate constants K2 (0–1). Desorption process was also performed for storage, conservation and reuse of sorbent and sorbate materials.

ACS Style

Tunzeel Iqbal; Shahid Iqbal; Fozia Batool; Dimitrios Thomas; Malik Iqbal. Utilization of a Newly Developed Nanomaterial Based on Loading of Biochar with Hematite for the Removal of Cadmium Ions from Aqueous Media. Sustainability 2021, 13, 2191 .

AMA Style

Tunzeel Iqbal, Shahid Iqbal, Fozia Batool, Dimitrios Thomas, Malik Iqbal. Utilization of a Newly Developed Nanomaterial Based on Loading of Biochar with Hematite for the Removal of Cadmium Ions from Aqueous Media. Sustainability. 2021; 13 (4):2191.

Chicago/Turabian Style

Tunzeel Iqbal; Shahid Iqbal; Fozia Batool; Dimitrios Thomas; Malik Iqbal. 2021. "Utilization of a Newly Developed Nanomaterial Based on Loading of Biochar with Hematite for the Removal of Cadmium Ions from Aqueous Media." Sustainability 13, no. 4: 2191.

Book chapter
Published: 17 December 2020 in Smart Cities [Working Title]
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In this Chapter, we consider a microgrid with a certain number of distributed energy resources (DER) components connected to an office building (in a university campus) provided with electricity by a utility company. We develop the initial version of the energy management system which is responsible for the optimal energy scheduling of the microgrid’s distributed energy resources. These resources include a photovoltaic (PV) installation, a Storage Energy System (ESS), a small Combined Heat and Power (CHP) unit, and a fleet of electric vehicles (EVs) used for work-related trips. The mobility behavior of the EVs fleet is modeled considering deterministic realizations of the probabilistic distributions used for the arrival/departure, and the time EVs remain parked. To investigate the impact of renewable generation and load unpredictability on the energy management system (EMS) operation, PV production and electric load are modeled under uncertainty using actual smart meters data for the scenarios formulation. We also assume that each DER component, through an EMS, can communicate and control the power exchange from and towards this component and that, two way communication with the utility company can be reached through aggregators using advanced metering equipment. We also consider a simplified thermal model that provides a specific level of thermal comfort to the building’s occupants, by meeting the predicted heating load. The energy produced by the DERs can be sold back to the grid by the microgrid manager and/or it can be stored for future utilization.

ACS Style

Dimitrios Thomas; Evangelos Kotsakis. Energy Management and Optimal Power Scheduling in a Smart Building under Uncertainty. Smart Cities [Working Title] 2020, 1 .

AMA Style

Dimitrios Thomas, Evangelos Kotsakis. Energy Management and Optimal Power Scheduling in a Smart Building under Uncertainty. Smart Cities [Working Title]. 2020; ():1.

Chicago/Turabian Style

Dimitrios Thomas; Evangelos Kotsakis. 2020. "Energy Management and Optimal Power Scheduling in a Smart Building under Uncertainty." Smart Cities [Working Title] , no. : 1.

Journal article
Published: 20 January 2020 in IEEE Transactions on Power Systems
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This paper proposes a two-stage auction-based local market mechanism to allocate physical storage rights (PSRs). As a market product, PSRs are provided by a storage owner and enable the local market participants (including renewable producers, consumers and prosumers) to access the storage. That is, they can book storage in the form of PSRs and dispatch it at a given time aiming to maximize their utility function. The business options we examine to evaluate the position of storage in the market range from storage owner entirely participating in day-ahead (DA) and real-time (RT) markets as an inter-temporal arbitrager, to exclusively acting as a PSR provider in DA only -- this way, the storage owner is fully paid upfront in DA. Considering the context above, we propose an equilibrium model where each player optimizes its operational objective. We prove that the equilibrium model can be substituted with an equivalent optimization formulation which clears the proposed market ensuring the same desirable market properties, such as efficiency and revenue adequacy. Results suggest that the certain revenues earned by the storage owner in DA when acting as a PSR provider is equal to its expected profit as a regular market participant, mitigating however its payoff uncertainty and resulting in the same economic return.

ACS Style

Dimitrios Thomas; Jalal Kazempour; Athanasios Papakonstantinou; Pierre Pinson; Olivier Deblecker; Christos S. Ioakimidis. A Local Market Mechanism for Physical Storage Rights. IEEE Transactions on Power Systems 2020, 35, 1 -1.

AMA Style

Dimitrios Thomas, Jalal Kazempour, Athanasios Papakonstantinou, Pierre Pinson, Olivier Deblecker, Christos S. Ioakimidis. A Local Market Mechanism for Physical Storage Rights. IEEE Transactions on Power Systems. 2020; 35 (4):1-1.

Chicago/Turabian Style

Dimitrios Thomas; Jalal Kazempour; Athanasios Papakonstantinou; Pierre Pinson; Olivier Deblecker; Christos S. Ioakimidis. 2020. "A Local Market Mechanism for Physical Storage Rights." IEEE Transactions on Power Systems 35, no. 4: 1-1.

Book chapter
Published: 11 September 2019 in Micro-grids - Applications, Operation, Control and Protection
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This chapter addresses the power quality of grid-connected microgrids in steady state. Three different power quality issues are evaluated: the voltage drop, the harmonic distortion, and the phase unbalance. A formulation for an energy management algorithm for microgrids is proposed under the form of a mixed-integer linear optimization including harmonic load flows. It handles both the optimization of the scheduling of all the generation, storage, and load assets, and the resolution of power quality issues at the tertiary level of control by adjusting the levels of certain types of loads within the system. This algorithm is simulated for different scenarios on a conceptual test-case microgrid with residential, industrial, and commercial loads. The results show that the demand-side management mechanism inside the algorithm can adapt efficiently the consumption behavior of certain loads, so that the voltage drop, the voltage total harmonic distortion, and the voltage unbalance factor meet the required standards at every node of the microgrid during the day. It is also highlighted that the microgrid can gradually reduce the purchase of power from the utility grid to which it is connected if the electricity price on the spot market increases.

ACS Style

Gaspard D’Hoop; Olivier Deblecker; Dimitrios Thomas. Power Quality Improvement of a Microgrid with a Demand-Side-Based Energy Management System. Micro-grids - Applications, Operation, Control and Protection 2019, 1 .

AMA Style

Gaspard D’Hoop, Olivier Deblecker, Dimitrios Thomas. Power Quality Improvement of a Microgrid with a Demand-Side-Based Energy Management System. Micro-grids - Applications, Operation, Control and Protection. 2019; ():1.

Chicago/Turabian Style

Gaspard D’Hoop; Olivier Deblecker; Dimitrios Thomas. 2019. "Power Quality Improvement of a Microgrid with a Demand-Side-Based Energy Management System." Micro-grids - Applications, Operation, Control and Protection , no. : 1.

Journal article
Published: 01 May 2019 in Sustainability
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This paper presents a life cycle assessment (LCA) study that examines a number of scenarios that complement the primary use phase of electric vehicle (EV) batteries with a secondary application in smart buildings in Spain, as a means of extending their useful life under less demanding conditions, when they no longer meet the requirements for automotive purposes. Specifically, it considers a lithium iron phosphate (LFP) battery to analyze four second life application scenarios by combining the following cases: (i) either reuse of the EV battery or manufacturing of a new battery as energy storage unit in the building; and (ii) either use of the Spanish electricity mix or energy supply by solar photovoltaic (PV) panels. Based on the Eco-indicator 99 and IPCC 2007 GWP 20a methods, the evaluation of the scenario results shows that there is significant environmental benefit from reusing the existing EV battery in the secondary application instead of manufacturing a new battery to be used for the same purpose and time frame. Moreover, the findings of this work exemplify the dependence of the results on the energy source in the smart building application, and thus highlight the importance of PVs on the reduction of the environmental impact.

ACS Style

Christos Ioakimidis; Alberto Murillo-Marrodán; Ali Bagheri; Dimitrios Thomas; Konstantinos Genikomsakis. Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios. Sustainability 2019, 11, 2527 .

AMA Style

Christos Ioakimidis, Alberto Murillo-Marrodán, Ali Bagheri, Dimitrios Thomas, Konstantinos Genikomsakis. Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios. Sustainability. 2019; 11 (9):2527.

Chicago/Turabian Style

Christos Ioakimidis; Alberto Murillo-Marrodán; Ali Bagheri; Dimitrios Thomas; Konstantinos Genikomsakis. 2019. "Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios." Sustainability 11, no. 9: 2527.

Journal article
Published: 01 April 2018 in Energy
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ACS Style

Christos S. Ioakimidis; Dimitrios Thomas; Pawel Rycerski; Konstantinos N. Genikomsakis. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot. Energy 2018, 148, 148 -158.

AMA Style

Christos S. Ioakimidis, Dimitrios Thomas, Pawel Rycerski, Konstantinos N. Genikomsakis. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot. Energy. 2018; 148 ():148-158.

Chicago/Turabian Style

Christos S. Ioakimidis; Dimitrios Thomas; Pawel Rycerski; Konstantinos N. Genikomsakis. 2018. "Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot." Energy 148, no. : 148-158.

Journal article
Published: 01 January 2018 in Applied Energy
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ACS Style

Dimitrios Thomas; Olivier Deblecker; Christos S. Ioakimidis. Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule. Applied Energy 2018, 210, 1188 -1206.

AMA Style

Dimitrios Thomas, Olivier Deblecker, Christos S. Ioakimidis. Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule. Applied Energy. 2018; 210 ():1188-1206.

Chicago/Turabian Style

Dimitrios Thomas; Olivier Deblecker; Christos S. Ioakimidis. 2018. "Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule." Applied Energy 210, no. : 1188-1206.

Journal article
Published: 27 November 2017 in IEEE Transactions on Intelligent Transportation Systems
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Carsharing is a mode of transportation that provides access to a set of vehicles in the form of organized short-term car rental, serving as a substitute for private car ownership with a number of transportation, environmental, and social benefits. Combining the mobility concept of carsharing with electric vehicles (EVs), referred to as e-carsharing, can contribute not only to more efficient use of the shared vehicles, but also to more sustainable urban mobility in smart cities. In this context, this paper advances the concept of university-based e-carsharing, to serve the mobility needs of an academic community in Bilbao, Spain, focusing on the technical design aspects to cover the energy requirements of the EV fleet of the proposed system through the installation of fast charging posts based on a battery-to-battery approach. In this regard, a MATLAB/Simulink model is implemented to simulate the fast charging infrastructure using the real-world data collected from the university parking lot in order to represent the potential utilization of the EVs. The simulation results confirm the effectiveness of the proposed system design, ensuring that the energy demand of the EVs is successfully covered and concurrently the charging station batteries operate out of the low charge zone.

ACS Style

Konstantinos N. Genikomsakis; Ignacio Angulo Gutierrez; Dimitrios Thomas; Christos S. Ioakimidis. Simulation and Design of Fast Charging Infrastructure for a University-Based e-Carsharing System. IEEE Transactions on Intelligent Transportation Systems 2017, 19, 2923 -2932.

AMA Style

Konstantinos N. Genikomsakis, Ignacio Angulo Gutierrez, Dimitrios Thomas, Christos S. Ioakimidis. Simulation and Design of Fast Charging Infrastructure for a University-Based e-Carsharing System. IEEE Transactions on Intelligent Transportation Systems. 2017; 19 (9):2923-2932.

Chicago/Turabian Style

Konstantinos N. Genikomsakis; Ignacio Angulo Gutierrez; Dimitrios Thomas; Christos S. Ioakimidis. 2017. "Simulation and Design of Fast Charging Infrastructure for a University-Based e-Carsharing System." IEEE Transactions on Intelligent Transportation Systems 19, no. 9: 2923-2932.

Conference paper
Published: 01 October 2017 in IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
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Evolution to the new “smart” era requires the implementation of smart technology systems through comprehensive and effective energy management concepts. This paper proposes a bi-directional energy management system framework for a smart household including renewable energy sources (RES), an energy storage system (ESS) and an electric vehicle (EV). The developed mixed integer linear programming (MILP) model utilizes two-way energy exchange using net metering technology and incorporates an optimizer which decides the power flow among the distributed energy resources (DER) components of the microgrid. Real smart-metering data for PV generation and real-time household load were classified using a clustering technique in order to formulate probabilistic scenarios. The stochastic approach was compared with a deterministic one. Results confirmed the necessity of the proposed stochastic approach as the total expected daily cost for the system within the stochastic approach was much lower compared to its corresponding deterministic case.

ACS Style

Dimitrios Thomas; Olivier Deblecker; Konstantinos Genikomsakis; Christos S. Ioakimidis. Smart house operation under PV and load demand uncertainty considering EV and storage utilization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society 2017, 3644 -3649.

AMA Style

Dimitrios Thomas, Olivier Deblecker, Konstantinos Genikomsakis, Christos S. Ioakimidis. Smart house operation under PV and load demand uncertainty considering EV and storage utilization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 2017; ():3644-3649.

Chicago/Turabian Style

Dimitrios Thomas; Olivier Deblecker; Konstantinos Genikomsakis; Christos S. Ioakimidis. 2017. "Smart house operation under PV and load demand uncertainty considering EV and storage utilization." IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society , no. : 3644-3649.

Conference paper
Published: 01 October 2017 in IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
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Efficient energy operation of microgrids that include a localized group of controllable loads with distributed energy resources (DERs) requires the development of energy management systems (EMSs) with the ability of controlling the loads so that the aggregate performance of the microgrid can be optimized. This paper proposes a bi-directional EMS framework used for an office building including photovoltaic panels (PV), an energy storage system (ESS) and a combined heat and power (CHP) microturbine. A simplified building thermal model is developed for predicting and characterizing the thermal demand. The developed mixed integer linear programming (MILP) model utilizes two-way energy exchange using net metering technology and incorporates an optimizer which decides the power flow among the DERs components of the microgrid so as to minimize electricity cost and in the same time ensure the thermal comfort of the occupants. Simulation results demonstrated the individual energy contribution of each DER in the system and confirmed the effectiveness of the proposed approach.

ACS Style

Dimitrios Thomas; Ali Bagheri; Veronique Feldheim; Olivier Deblecker; Christos S. Ioakimidis. Energy and thermal comfort management in a smart building facilitating a microgrid optimization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society 2017, 3621 -3626.

AMA Style

Dimitrios Thomas, Ali Bagheri, Veronique Feldheim, Olivier Deblecker, Christos S. Ioakimidis. Energy and thermal comfort management in a smart building facilitating a microgrid optimization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 2017; ():3621-3626.

Chicago/Turabian Style

Dimitrios Thomas; Ali Bagheri; Veronique Feldheim; Olivier Deblecker; Christos S. Ioakimidis. 2017. "Energy and thermal comfort management in a smart building facilitating a microgrid optimization." IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society , no. : 3621-3626.

Journal article
Published: 01 September 2017 in Energy Procedia
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ACS Style

Ali Bagheri; Véronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. The adjacent walls effects in simplified thermal model of buildings. Energy Procedia 2017, 122, 619 -624.

AMA Style

Ali Bagheri, Véronique Feldheim, Dimitrios Thomas, Christos S. Ioakimidis. The adjacent walls effects in simplified thermal model of buildings. Energy Procedia. 2017; 122 ():619-624.

Chicago/Turabian Style

Ali Bagheri; Véronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. 2017. "The adjacent walls effects in simplified thermal model of buildings." Energy Procedia 122, no. : 619-624.

Conference paper
Published: 16 February 2017 in 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
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Nowadays, one of the dominant reasons of excessive energy consumption is the high energy demand in corporate and/or public buildings. At the same time, electric vehicles (EVs) are becoming more and more popular worldwide being a considerable alternative power source when parked. In this work we initially propose an energy management framework which optimizes the control of the charging-discharging schedule of a fleet of EVs arriving at a university building for two typical load-days in February and May aiming at the minimization of the energy demand and, thus, the electricity cost of the building. To this end, a mixed integer linear programing (MILP) model containing binary and continuous variables was developed. Uncertainties in load, generation, and cost require modeling power systems with a probabilistic approach. In such a way, the probabilistic nature of demand side management (DSM) problem is also possible to be addressed. The integration of the EVs in the Low Voltage (LV) grid is simulated with a probabilistic analysis framework that uses real smart metering (SM) data. The stochastic character of the loading parameters at the network nodes is studied taking into account the charging energy needs of the corresponding EVs fleet.

ACS Style

Dimitrios Thomas; Christos S. Ioakimidis; Vasiliki Klonari; Francois Vallee; Olivier Deblecker. Effect of electric vehicles' optimal charging-discharging schedule on a building's electricity cost demand considering low voltage network constraints. 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) 2017, 1 -6.

AMA Style

Dimitrios Thomas, Christos S. Ioakimidis, Vasiliki Klonari, Francois Vallee, Olivier Deblecker. Effect of electric vehicles' optimal charging-discharging schedule on a building's electricity cost demand considering low voltage network constraints. 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). 2017; ():1-6.

Chicago/Turabian Style

Dimitrios Thomas; Christos S. Ioakimidis; Vasiliki Klonari; Francois Vallee; Olivier Deblecker. 2017. "Effect of electric vehicles' optimal charging-discharging schedule on a building's electricity cost demand considering low voltage network constraints." 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) , no. : 1-6.

Journal article
Published: 01 December 2016 in Energy
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ACS Style

Dimitrios Thomas; Olivier Deblecker; Christos S. Ioakimidis. Optimal design and techno-economic analysis of an autonomous small isolated microgrid aiming at high RES penetration. Energy 2016, 116, 364 -379.

AMA Style

Dimitrios Thomas, Olivier Deblecker, Christos S. Ioakimidis. Optimal design and techno-economic analysis of an autonomous small isolated microgrid aiming at high RES penetration. Energy. 2016; 116 ():364-379.

Chicago/Turabian Style

Dimitrios Thomas; Olivier Deblecker; Christos S. Ioakimidis. 2016. "Optimal design and techno-economic analysis of an autonomous small isolated microgrid aiming at high RES penetration." Energy 116, no. : 364-379.

Conference paper
Published: 03 October 2016 in 2016 IEEE International Smart Cities Conference (ISC2)
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High energy demand in corporate and/or public buildings is nowadays one of the main reasons of excessive energy consumption. At the same time, electric vehicles (EVs) have become very popular worldwide being a considerable alternative power source when parked. In this work we propose a scheduling mechanism which optimizes the control of the charging-discharging schedule of an altered but finite number of EVs arriving at a university building for a typical load-day in February aiming at the minimization of the energy demand and the electricity cost of the building. In the aforementioned framework, a parallel operation of a small sized gas turbine generator (GGT) is considered. To this end, a mixed integer linear programing (MILP) model containing binary and continuous variables has been developed to optimize the control process and minimize energy cost. Results showed that the use of the EVs as an alternative energy source can significantly contribute to the reduction of the building's energy demand leading to important cost decrease. The exploitation of the energy produced by the GGT further contributed to the minimization of the total energy consumption of the building and the total electricity cost.

ACS Style

Dimitrios Thomas; Olivier Deblecker; Ali Bagheri; Christos S. Ioakimidis. A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine. 2016 IEEE International Smart Cities Conference (ISC2) 2016, 1 -6.

AMA Style

Dimitrios Thomas, Olivier Deblecker, Ali Bagheri, Christos S. Ioakimidis. A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine. 2016 IEEE International Smart Cities Conference (ISC2). 2016; ():1-6.

Chicago/Turabian Style

Dimitrios Thomas; Olivier Deblecker; Ali Bagheri; Christos S. Ioakimidis. 2016. "A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine." 2016 IEEE International Smart Cities Conference (ISC2) , no. : 1-6.

Conference paper
Published: 03 October 2016 in 2016 IEEE International Smart Cities Conference (ISC2)
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Buildings are one of the main energy consumer and carbon emission sources in European countries. Population growth in cities may be effective for economic growth, but by considering overpopulated cities, making new efficient buildings and optimizing energy consumption in older ones may be a good solution for energy management and carbon reduction in them. For doing this, one needs to collect buildings data for months to get an idea about the energy consumption in a building. On the other hand, computer simulations may not provide very accurate results, but they can give a crude idea about energy consumption in buildings. There are many different tools to simulate energy consumption in buildings, among all of them simplified models provide fast and accurate results. Developing building model based on lumped capacitance method by means of resistance-capacitance (RC) circuits provides good results and a comprehensive schematic about the heat transfer in the building. In this paper, the application of thermal networks for building load calculation is introduced and it will be shown how effectively it can be used in control systems to make a smart building.

ACS Style

Ali Bagheri; Veronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. Coupling building thermal network and control system, the first step to smart buildings. 2016 IEEE International Smart Cities Conference (ISC2) 2016, 1 -6.

AMA Style

Ali Bagheri, Veronique Feldheim, Dimitrios Thomas, Christos S. Ioakimidis. Coupling building thermal network and control system, the first step to smart buildings. 2016 IEEE International Smart Cities Conference (ISC2). 2016; ():1-6.

Chicago/Turabian Style

Ali Bagheri; Veronique Feldheim; Dimitrios Thomas; Christos S. Ioakimidis. 2016. "Coupling building thermal network and control system, the first step to smart buildings." 2016 IEEE International Smart Cities Conference (ISC2) , no. : 1-6.

Conference paper
Published: 01 November 2015 in 2015 International Conference on Renewable Energy Research and Applications (ICRERA)
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Carsharing has the potential to reduce the total number of cars on the road, with significant benefits to the society and the environment, while at the same time relevant studies show that university communities are often more receptive to alternative transportation services compared to the general population. With the growing interest in electromobility, as a means of decarbonizing the transportation sector, this paper considers the case of combining carsharing with electric vehicles (EVs) to serve the commuting needs of students, employees and faculty of a university in Bilbao, Spain. The aim of the present work is to conceptualize the design of the charging infrastructure of the e-carsharing system under a fast charging scheme and define its components, their attributes and interactions. To this end, a MATLAB/Simulink based simulator is developed incorporating the dynamics of a real-world scenario based on arrival and departure data from the university parking lot.

ACS Style

Konstantinos Genikomsakis; Ignacio Angulo Gutierrez; Dimitrios Thomas; Christos S. Ioakimidis. Simulation and design of a fast charging battery station in a parking lot of an e-carsharing system. 2015 International Conference on Renewable Energy Research and Applications (ICRERA) 2015, 551 -556.

AMA Style

Konstantinos Genikomsakis, Ignacio Angulo Gutierrez, Dimitrios Thomas, Christos S. Ioakimidis. Simulation and design of a fast charging battery station in a parking lot of an e-carsharing system. 2015 International Conference on Renewable Energy Research and Applications (ICRERA). 2015; ():551-556.

Chicago/Turabian Style

Konstantinos Genikomsakis; Ignacio Angulo Gutierrez; Dimitrios Thomas; Christos S. Ioakimidis. 2015. "Simulation and design of a fast charging battery station in a parking lot of an e-carsharing system." 2015 International Conference on Renewable Energy Research and Applications (ICRERA) , no. : 551-556.

Conference paper
Published: 01 November 2015 in 2015 International Conference on Renewable Energy Research and Applications (ICRERA)
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Nowadays distribution systems are becoming more and more complicated mainly due to the new methods of producing and storing electricity (PV, fuel cells, battery storage systems) as well as due to the new tensions of consuming electric energy (smart appliances, e-vehicles, e-bikes, etc.). Uncertainty in load, generation, and cost requires modeling power systems with a probabilistic approach. In such a way, the probabilistic nature of demand side management (DSM) problem can also be addressed. This work presents the design of an e-bike sharing system, in terms of system components and user mobility patterns. The integration of the designed system in the Low Voltage (LV) grid is simulated with a probabilistic analysis framework that uses real smart metering (SM) data. The stochastic character of the loading parameters at the network nodes is studied taking into account the charging energy needs of the proposed e-bikes sharing system. PV generation produced on the parking roof of the e-bikes smart charging stations (SCS) along with the energy stored in a local battery is also studied.

ACS Style

Dimitrios Thomas; Vasiliki Klonari; Francois Vallee; Christos S. Ioakimidis. Implementation of an e-bike sharing system: The effect on low voltage network using pv and smart charging stations. 2015 International Conference on Renewable Energy Research and Applications (ICRERA) 2015, 572 -577.

AMA Style

Dimitrios Thomas, Vasiliki Klonari, Francois Vallee, Christos S. Ioakimidis. Implementation of an e-bike sharing system: The effect on low voltage network using pv and smart charging stations. 2015 International Conference on Renewable Energy Research and Applications (ICRERA). 2015; ():572-577.

Chicago/Turabian Style

Dimitrios Thomas; Vasiliki Klonari; Francois Vallee; Christos S. Ioakimidis. 2015. "Implementation of an e-bike sharing system: The effect on low voltage network using pv and smart charging stations." 2015 International Conference on Renewable Energy Research and Applications (ICRERA) , no. : 572-577.

Conference paper
Published: 01 May 2015 in 2015 5th International Youth Conference on Energy (IYCE)
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The design and safety analyses of current and future nuclear reactors require continuous improvement of computational accuracies. To this end, multi-physics approaches including detailed, coupled neutronic, thermal hydraulic, and fuel pin mechanic assessments are being increasingly used. In this work, we have studied the neutronic performance of a 3600 MWth oxide-fuelled sodium-cooled fast reactor core developed in the framework of the Euratom 7th Framework Programme Collaborative Project on European Sodium Fast Reactor. A new version of Monte Carlo neutron transport code (MCNP6) was used to evaluate a number of safety-relevant characteristics. These included the effective neutron multiplication factor and pin-by-pin power distribution in the ESFR core. As such, the peak power pin was identified and its axial power profile determined. These characteristics were evaluated both for the beginning of life as well as the end of cycle situations, explicitly taking into account changes in core material composition during burn-up. Obtained results will serve as an input to detailed safety assessments of fuel pin behavior in nominal and off-nominal conditions.

ACS Style

D. P. Thomas. Neutronic analysis of european sodium-cooled fast reactor using Monte Carlo. 2015 5th International Youth Conference on Energy (IYCE) 2015, 1 -8.

AMA Style

D. P. Thomas. Neutronic analysis of european sodium-cooled fast reactor using Monte Carlo. 2015 5th International Youth Conference on Energy (IYCE). 2015; ():1-8.

Chicago/Turabian Style

D. P. Thomas. 2015. "Neutronic analysis of european sodium-cooled fast reactor using Monte Carlo." 2015 5th International Youth Conference on Energy (IYCE) , no. : 1-8.